Zhun Zhang

Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update

With the popularity of federated learning, federated domain generalization (FedDG) has attracted more and more attentions. Existing works of federated learning indicate that the generalization performance of the global model can be improved when the global model is obtained by aggregating local mode…